Objective To explore and verify the prognostic value of endothelial cells in glioblastoma. Methods Through bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. Results A total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. Conclusion The glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.

Objective: To construct a hypertension risk prediction model for residents aged 18-79 years, so as to provide an assessment tool for early screening and prevention of hypertension in high-risk groups. Methods: The permanent residents aged 18-79 years from 6 townships (streets) in Fangshan District of Beijing Municipality were selected as the study subjects using a multi-stage stratified random sampling method from March to June 2023. Demographic information, lifestyle, body mass index (BMI), blood pressure, fasting blood glucose, and blood lipid were collected through questionnaire survey, physical examination, and laboratory tests. Subjects were randomly divided into training and validation sets at a 7∶3 ratio. The logistic regression model was used to screen the risk factors of hypertension, and a hypertension risk prediction nomogram was constructed. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis were used to verify the discrimination, fit, and clinical application value of the model. Results: A total of 4 438 subjects were included, including 2 365 males (53.29%) and 2 073 females (46.71%), with a mean age of (44.99±14.90) years. The prevalence of hypertension was 35.29% (1 566 cases), and the standardized prevalence was 24.74%. The logistic regression model screened out 9 influencing factors of hypertension. The nomogram was established as ln[p/ (1-p)]= -2.873 + 0.935×40-<50 years + 1.463×50-<60 years + 1.908×60-<70 years + 2.346×70-79 years + 0.298×male-0.675×college degree or above + 0.384×smoking + 0.227×drinking + 0.572×overweight + 1.449×obesity + 0.557×heart rate ≥80 beats/min + 0.428×diabetes + 0.484×dyslipidemia. The area under the ROC curve of the validation set was 0.821 (95%CI: 0.798-0.843), and the calibration curve results showed that the calibration curve fitted the actual curve well. Decision curve analysis showed that the threshold probability was in the range of 0.10 to 0.70, and the model had good predictive value and clinical application value. Conclusion The nomogram based on age, gender, educational level, smoking, drinking, body mass index, heart rate, diabetes, and dyslipidemia can be used to predict the risk of hypertension among residents aged 18-79 years.

Objective To explore the application value of anhydrous ethanol as an alternative to methanol in the preparation of chromosomal specimens from peripheral blood lymphocytes, and to establish a set of quantitative analytical methods for objectively evaluating the effectiveness of specimen preparation. Methods Residual blood samples from routine laboratory slide preparation were used for lymphocyte culture. The standard slide preparation method was employed. The fixative in the control group was methanol and glacial acetic acid (3∶1). Four experimental groups were set up based on the ratio of anhydrous ethanol to glacial acetic acid in the fixative (volume ratios of 3∶1, 5∶1, 7∶1, and 9∶1 for experimental groups 1, 2, 3, and 4, respectively). A chromosomal analysis was conducted using an automated chromosome scanning/image analysis system to evaluate the morphology and dispersion of metaphase chromosomes in both control and experimental groups. Comparisons were made between the control and experimental groups regarding the dic + r aberration rate, ace aberration rate, chromosomal aberration rate, chromosome dispersion index, chromosome overlapping ratio, and dispersion index/overlapping ratio. Results Microscopic evaluation revealed that the preparation quality of experimental groups 1 and 2 was comparable to the control group. No statistically significant differences were observed in dic + r aberration rate between each of the experimental groups and the control (P > 0.05). All experimental groups except group 4 showed no significant differences in ace aberration rate and chromosome aberration rate compared with the control group (P > 0.05). Experimental groups 1 and 2 showed no significant differences in chromosome dispersion index, overlapping ratio, and dispersion index/overlapping ratio compared with the control group (P > 0.05). Conclusion A mixture of anhydrous ethanol and glacial acetic acid at a 5∶1 ratio is recommended for use as a fixative in the preparation of chromosomal specimens from peripheral blood lymphocytes. A quantitative index system for assessing the quality of chromosomal specimens was established, enabling objective evaluation of slide preparation effectiveness.

Parkinson′s disease (PD) is a neurodegenerative disorder, and the abnormal levels of its pathological marker ɑ-synuclein (ɑ-syn) are often accompanied by imbalanced heavy metal homeostasis. However, the underlying mechanisms remain unclear, with limited research. This review explores the interactions between iron, copper, zinc, and manganese with pathological ɑ-syn′s abnormal expression, aggregation, and degradation in development and progression of PD. It also discusses potential therapeutic directions for addressing heavy metal imbalances in PD patients.

Background:Patients with primary biliary cholangitis(PBC)may develop gastroesophageal varices at an early stage.It is of great significance to prevent variceal bleeding for the long-term outcome of PBC.Aims:To assess the risk factors for clinically significant portal hypertension(CSPH)among PBC patients and develop a predictive model.Methods:The clinical data of PBC patients admitted from January 2018 to January 2022 in the Division of Gastroenterology and Hepatology,Renji Hospital,Shanghai Jiao Tong University School of Medicine were retrospectively collected and analyzed.Patients were divided into CSPH and non-CSPH groups according to the diagnostic criteria of CSPH.Multivariate Logistic regression and Lasso regression were used to identify the risk factors and construct CSPH predictive model which was presented as nomogram and internally validated.Results:Of the 458 subjects enrolled in this study,140 cases were in CSPH group while 318 cases in non-CSPH group.Multivariate analysis identified that male gender(OR=2.89),positive for anti-centromere antibody(ACA;OR=2.18)and anti-gp210 antibody(OR=1.75),high baseline total bilirubin(OR=1.01)and IgA(OR=1.27),and low baseline albumin(OR=0.91)and platelet count(OR=0.98)were independent risk factors for CSPH.These variables were selected to form the predictive model and nomogram ultimately.Favorable stability and predictive performance of the model were confirmed by ROC curve analysis(AUC=0.891)and bootstrap method(C-index=0.891).Conclusions:The predictive model constructed in this study has certain reference value for risk stratification of CSPH among PBC patients.Intensive follow-up is recommended for ACA-positive PBC patients in clinical practice for avoidance of gastroesophageal variceal bleeding.

Purpose/Significance To construct a Chinese medical knowledge Q&A corpus dataset as a standardized evaluation bench-mark for large language models(LLMs)in the medical domain,so as to improve the accuracy and efficiency of LLMs in handling Chinese medical questions.Method/Process Chinese medical paper knowledge,medical terminology explanations and supplementary questions are acquired from the Chinese medical licensing examination,and open-source Chinese medical Q&A datasets are encompassed in the developed Q&A datasets.Result/Conclusion The Chinese medical knowledge Q&A corpus datasets enrich the sources of existing datasets and promote the objective and comprehensive quantitative evaluation of large models in the medical field.In the near future,additional data such as electronic medical records and those from online health communities will be used to strengthen the support of artificial intelli-gence for the Healthy China strategy.

Gastroesophageal reflux related cough is located in the lung and stomach.The basic pathogenesis is the inversion of stomach qi and the lung loss propagating and descending.In view of the above,based on the theory of"relevance of lung and stomach",this article analyzed the modern mechanism of"relevance of lung and stomach"in gastroesophageal reflux related cough,which included"microinhalation"theory,"esophagus-bronchial reflex"theory,and"airway neurogenic inflammation"theory.This article also put forward the TCM disease name of"gastric cough",and the treatment methods of"simultaneous treatment of lung and stomach"and"treatment of cough from stomach",which would provide new ideas for the theoretical and mechanism research of TCM treatment of gastroesophageal reflux related cough.

ObjectiveTo explore the genetic relationship and reveal the genetic variations of 45 germplasm accessions of Artemisia argyi. MethodGenotyping-by-sequencing （GBS） was employed to mine single nucleotide-polymorphisms （SNPs） from the 45 germplasm accessions. Principal component analysis， phylogenetic analysis， population genetic structure analysis， and genetic variation analysis were conducted based on the SNPs. ResultA total of 111.91 Gb of data were obtained， with the Q20， Q30， and average GC content of 96.39%， 90.33%， and 39.37%， respectively. The comparison rate between clean reads and the reference genome was 70.24%-98.97%. A total of 22 399 Indels and 170 539 SNPs were obtained， and the 10^th pair of chromosomes had the most variation sites. The results of principal component analysis， cluster analysis， and genetic diversity analysis classified the 45 germplasm accessions into three groups. Group Ⅰ contained three germplasm accessions from Qichun County. The germplasm accessions in group Ⅱ were all wild. Group Ⅲ contained 31 germplasm accessions， with the most complex sources. Moreover， the 45 germplasm accessions can be classified into 3 subtypes， containing the genetic information from three ancestors. The results indicated rich genetic diversity of A. argyi from different sources， especially the germplasm accessions from Qichun County， Hubei province. ConclusionThis study provides theoretical support for breeding new varieties， developing specific SNP markers， and revealing the genetic relationship of A. argyi.

With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.

ObjectiveTo discriminate the age of Arisaema Cum Bile， the combination of headspace solid-phase microextraction （HS-SPME） with gas chromatography-mass spectrometry （GC-MS） was applied to explore the differences of volatile components of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented Arisaema Cum Bile. MethodSamples with different fermentation durations were collected and HS-SPME-GC-MS technology was employed to detect the volatile components of each sample. The relative contents of detected volatile components were processed and analyzed by chemometrics methods such as principal component analysis （PCA）， hierarchical cluster analysis （HCA）， and partial least squares discriminant analysis （PLS-DA）. ResultThe results showed that 145 volatile components were identified. Among these volatile components， the relative contents of heterocyclic， alcohols， aldehydes and aromatics were high. PCA， HCA， and PLS-DA can effectively separate Arisaema Cum Bile with four different ages. Based on variable importance in projection （VIP） value > 1， 73 markers of differential volatile components were identified. The content of 2，6，11-trimethyldodecane and m-xylene in unfermented samples was the highest， and the content difference between them and those in fermented samples was significant （P<0.05）. 2，3-butanediol was detected only in 1-year samples， octane was detected only in 2-year samples， and ethyl heptanoate was detected only in 3-year samples. These components can be used as odor markers for Arisaema Cum Bile with different fermentation years. ConclusionThe identification method of volatile components of Arisaema Cum Bile was established by HS-SPME-GC-MS technology， which can realize the rapid identification of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented samples， and provide a scientific basis for the standardization of processing technology and quality standards of Arisaema Cum Bile.